In [22]:
Image(filename="images/pydata_logo.png", width=600)
Out[22]:
5,002 members.¶
There are 1,000 members in a Batallion¶
With 5,000 members we are now a BRIGADE!¶
Finding Free Food with Python¶
- Scrapes Postmates for promotions using
BeautifulSoup - Pings himself an SMS using Twilio
In [7]:
IFrame('http://jamesbvaughan.com/python-twilio-scraping/', width=1024, height=600)
Out[7]:
JupyterCon¶
In [6]:
Image('images/jupytercon.png', width=1000, height=600)
Out[6]:
POTM - Pachyderm. Agnostic library for data versioning ¶
- Agnostic library for data versioning
- Works like git, you commit versions of data
- Hook pipelines to commits that run when data changes.
In [8]:
IFrame(src="http://docs.pachyderm.io/en/latest/getting_started/beginner_tutorial.html", width=1024, height=600)
Out[8]:
PyData London Conference¶
Reviews are well underway¶
- All talks have recieved scores
- Loads of amazing talks
- We're getting towards are final decisions
- Expect those around the end of March
In [14]:
Image('images/review-committee.png', width=1024, height=600)
Out[14]:
Gender diversity¶
O'Reilly's data science salary survey, females made up 21(ish)% of respondents
In [81]:
%matplotlib inline
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np
plt.figure(figsize=(10, 8))
sns.set_style("whitegrid")
speaker_data = [
{
'year': 2014,
'percent_female': 0.075,
},
{
'year': 2015,
'percent_female': 0.1961,
},
{
'year': 2016,
'percent_female': 0.1538,
},
{
'year': 2017,
'percent_female': 0.1983,
}
]
df = pd.DataFrame(data=speaker_data)
# annotation
ax = sns.barplot(x="year", y="percent_female", data=df)
ax.set_ylim(0,0.25)
ax.set_title("Percent of female speakers at the PyData Conference")
# plot Strata female attendance rate
plt.plot(np.linspace(-1,4,100), [0.21]*100, 'b')
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Keynotes anyone?¶
In [67]:
Image("images/fullfact.png", width=1024, height=600)
Out[67]:
DataKind Data science for humanitarian causes.¶
Data for good: Lessons from the frontline
Emma Prest, General Manager
In [69]:
Image("images/datakind.png", width=1024, height=600)
Out[69]:
Gene Kogan An independent generative artist¶
Picasso's terminal; data science and AI in the visual arts
In [70]:
Image("images/genekogan.png", width=1024, height=600)
Out[70]:
Tickets are NOW OPEN!¶
Linky linky